Abstract: In an electronic device, an image point A on an image of an object is selected. A spectral confocal sensor is controlled to move to a position above a measuring point A? on the object, where the measuring point A? corresponds to the image point A, and a Z-coordinate of the measuring point A? is computed using the spectral confocal sensor. A focal position of the measuring point A? is computed according to the Z-coordinate of the measuring point A?, and a CCD lens is controlled to move to the focal position. The Z-coordinate of the measuring point A? is stored into a storage unit of the electronic device.

Abstract: A computing device connects with a vision measuring machine (VMS). Then the computing device generates a one time password (OTP). A size of the OTP, the OTP are stored in a predefined file. The computing device obtains a size of measurement program codes of the VMS. The size of the OTP and the size of the measurement program codes are stored in the predefined file. The measurement program codes are encrypted by the OTP. If the measurement data includes image data of an object which is measured by the VMS, the computing device stores the encrypted program codes, a type of the image data, image data, and a size of the image data in the predefined file.

Abstract: In a computing device, computerized method, and a non-transitory storage medium, correction data of a probe holder is read. The probe holder comprises one or more slots that houses all available probes and is placed on the coordinate measuring machine. The correction data comprises coordinates of the slots. A coordinate of one of the slots is obtained from the correction data. A Z-axis of the coordinate measuring machine moves to a position that corresponds to the extracted coordinates, to detach a probe which is currently installed on the Z-axis and to place the detached probe into the slot, and/or to pick up and install another probe which is currently housed in the slot onto the Z-axis.

Abstract: A measurement apparatus includes a lamp mount including a first mount and a second mount. The first mount has a first cavity to mount an observation module. The second mount has a second cavity to mount an image capture module. The measurement apparatus further includes a plurality of light modules mounted on an undersurface of the lamp mount. The second mount is disposed with an included angle relative to a first axis of the first cavity so that a second axis of the second cavity and the first axis converge on a point. The undersurface of the lamp mount is concave so that light from the light modules tilts toward the first axis, and the light and the first axis also converge on the point.

Abstract: A computing device reads an entire image of an object. The entire image is spliced by a plurality of part images. A user selects an area on the entire image. The computing device determines a first number of first pixel points between a center point of the selected area and a center point of each covered image. The converted images are part images that the selected area covers. The coordinate values of the center point of the selected area are calculated according to the first number of pixel points and a size of each pixel point of the entire image. The computing device calculates coordinate values of each point of a selected area according to the size of each pixel point and the coordinate values of the center point of the selected area.

Abstract: In a precision testing method of an optical lens using a computing device, the computing device is connected to an imaging system. The computing device controls the imaging system to generate an image of an object according to light rays reflected from the object and collected by the optical lens. A dimension of the object is measured from the image. A maximum value and a minimum value of the dimension of the object are determined. A difference between the maximum value and the minimum value is calculated. According to the difference, it is determined whether the optical lens agrees with a precision requirement.

Abstract: An electronic device includes an image processing system to binarize a gray-scale image to generate a corresponding binary image in the electronic device. Binarization of the gray-scale image by the image processing system includes generation of a binarization array to store binarization threshold values that each corresponds to a pixel of the gray-scale image, and binarization of the gray-scale image according to all binarization threshold values stored in the binarization array.

Abstract: A focus apparatus comprises a light apparatus emits the light onto an object, an optical apparatus, an image capture apparatus for receiving an image of the object through the optical apparatus, and converting the image into electronic signals, and a adapter. The adapter connects the light apparatus and the optical apparatus. The light apparatus transfers thermal energy generated by the light apparatus to the air of the surrounding environment, and scatters the light to make the light propagate uniformly.

Abstract: A measuring device and method is used to select focusing points on an object. A CCD of the measuring device is positioned at the top of an initial focusing range, then moves to the bottom of the initial focusing range at a first speed to capture first images of the object. Image points corresponding to each focusing point in the first images are identified to compute coordinates of a first focal point of each focusing point. The initial focusing range is updated according to Z-coordinates of the first focal points. The CCD is positioned at the bottom of the updated focusing range, then, moves to the top of the updated focusing range at a second speed to capture second images of the object. Image points corresponding to each focusing point in the second images are identified to compute coordinates of a second focal point of each focusing point.

Abstract: In a method for measurement of flatness of objects on a measuring machine, at least two objects are fixed on a worktable of the measuring machine. The method establishes a first coordinate system for the worktable location, sets two groups of horizontal scanning points for each object, and sets two groups of vertical scanning points for each object. By controlling at least two laser heads of the measuring machine, the objects are measured and coordinate values for each of the points scanned are obtained. The method calibrates a first coordinate system and establishes a second coordinate system based on the first coordinate system. In the second coordinate system, the at least two laser heads measure the objects and obtain data, and an indication of the flatness of each object is calculated and displayed on a display device.

Abstract: A method controls probe measurement using an electronic device. The method receives user-defined identification data of a probe if a preset configuration file is not stored in a storage device of the electronic device, and fits a three dimensional (3D) model of the probe according to the user-defined identification data of the probe. The method further updates the user-defined identification data of the probe if the fitted 3D model does not match the probe, or stores the user-defined identification data of the probe in a user-defined configuration file if the fitted 3D model matches the probe, and controls the probe to execute measurement according to the user-defined configuration file.

Abstract: A scanner obtains point-cloud data of adjoining parts of a product. A computing device reads two point-clouds from the point-cloud data, fits two or more lines according to the two point-clouds, selects two lines that have the same ascending direction from the two or more lines, and creates a two-dimensional coordinates system base on the two selected lines. The computing device determines a highest point in each of the two point-clouds based on distances from each point in either of the point-clouds to a corresponding selected line, and determines two nearest points in the two point-clouds. A difference between Y coordinates of the two highest points is determined as a gap-height of two adjoining parts of the product, and a difference between X coordinates of the two nearest points is determined as a gap-width between two adjoining parts.

Abstract: A computing device and method for programming a measuring program into the device. The system and method divide an ideal image into one or more sections and obtains the attributes of each of the sections. The system and method measure dimensions from a desired position located in each of the sections based on a coordinate system created for each of the sections, and obtains ideal measurements from the desired position. The system and method generate a measuring program which is capable of executing the steps mentioned above.

Abstract: A system and method for positioning a portion of an object to be measured includes installing a digital camera adjacent to a charge coupled device (CCD) lens of an image measuring machine, setting positioning parameters corresponding to different positions of the digital camera on a Z-axis of a world coordinate system, receiving an image of the object captured by the digital camera, and selecting corresponding positioning parameters according to a position of the digital camera. The method further includes selecting a point of the portion of the object in the image, calculating coordinates of the selected point in a plane of the CCD lens, and controlling the CCD lens to move to the calculated coordinates so as to position the CCD lens on the portion of the object.

Abstract: A method detects a status of an image measuring machine using an electronic device. The method searches a measuring process of the image measuring machine, records a closed status of the image measuring machine if the measuring process has not been found, obtains status information of the image measuring machine if the measuring process has been found, and calculates a variation of the status information. The method further records a stopped status of the image measuring machine if the variation of the status information is less than a preset value within a specified length of time, or records an operating status of the image measuring machine if the variation of the status information is greater than or equal to the preset value within the specified length of time.

Abstract: A light source is configured to be mounted to a vision measuring instrument that includes a primary image capture unit capturing an image of an object to be measured, and an auxiliary image capture unit providing a means to aim the primary image capture unit at a determined position. The light source includes a main body defining a through hole for receiving the primary image capture unit, and a mounting hole for readily mounting an auxiliary image capture unit. A luminescent surface is formed on an inner wall bounding the through hole of the main body. A number of light-emitting diodes (LEDs) is disposed on the luminescent surface.

Abstract: A calibration plate is configured for revising an image capture apparatus of a vision measuring system. The vision measuring system includes a worktable which is configured for supporting the calibration plate. The calibration plate includes a quadrate portion. A calibration area and a zero marker are formed on the quadrate portion. The calibration area includes a plurality of regions having the same shape.

Abstract: An electronic device and a method for testing the light intensity of the electronic device include setting a colorbar comprising a plurality of colors corresponding to different gray values. The testing method further includes read bitmap data of read image upon the condition that the read image is a gray image, and recording a pixel number corresponding to each gray value. The method further includes drawing a relationship curve between the plurality of gray values and corresponding pixel numbers and recoloring the gray image according to the plurality of colors in the colorbar corresponding to the gray values of each pixel in the gray image, and displaying the relationship curve and a recolored gray image on a display.

Abstract: A system and method for determining inflection points in an image of an object includes obtaining the image of the object, performing binary image processing on a border of the image to obtain border points, selecting a predetermined number of the border points to fit a straight line, calculating a vertical distance between each selected border point and the straight line, and obtaining a total distance. The method further includes adding a new border point to the selected border points if the total distance is less than a predetermined value, so as to fit a new straight line and do a loop cycle, otherwise, regarding a last border point of the selected border points as an inflection point, and sequentially selecting the predetermined number of other border points to fit another new straight line.

Abstract: A method for correcting an image of a physical object first captures images of a circle and a rectangle set of a calibration plate placed on a measurement machine, and determines correction data using the images of the circle and the rectangle. The method further corrects the image of the physical object captured by the measurement machine according to the correction data, and displays a corrected image of the physical object.